tinyhumansai/openhuman

Maintainer? Show your league in your README

Card: your league's emblem, from Copper to Legendary

[![bestofgithub](https://bestofgithub.dev/badge/tinyhumansai/openhuman.svg?style=card)](https://bestofgithub.dev/repo/tinyhumansai/openhuman)

Flat: fits beside your other badges

[![bestofgithub](https://bestofgithub.dev/badge/tinyhumansai/openhuman.svg)](https://bestofgithub.dev/repo/tinyhumansai/openhuman)

Loading README…

Per solved task	OpenHuman (vs. median)	Median of the other six	Best of the other six
Wall time (p50)	19.8 s (2.3x faster)	46.5 s	28.4 s (OpenCode)
Tokens	167k (2.6x fewer)	435k	370k (Codex)
Cost	$0.0077 (-36%)	$0.012	$0.0077 (OpenCode, a tie)
Peak memory	68 MB (7.7x less)	523 MB	123 MB (Codex)
CPU time	1.3 s (8x less)	10.4 s	2.9 s (DeepSeek Harness)
System prompt	4.6k tokens (-40%)	7.7k	6.2k (DeepSeek Harness)

Capability	What OpenHuman ships
Configurable memory	Built-in memory over your files, repos, feeds and apps, recalled before every turn with citations, on the memory engine you choose
Voice agents	A live voice agent you can interrupt mid-sentence, plus dictation and spoken replies
Computer and browser control	Drives a real Chrome browser and your desktop apps, asking before anything it cannot undo
Search	Search engines and search agents: Exa and Gemini included, Brave, Tavily, Parallel and more with your own key, grounded answers with citations and Deep Research
Tools	Native tools: shell and coder, scraper, documents, image and video generation, cron
MCP and skills	MCP servers and skill bundles
OAuth integrations	119 apps through Composio, with triggers that start the agent when something happens
Models	Local models (Ollama, LM Studio, MLX) and BYOK for 26 providers, with automatic model routing
Channels	14 messaging channels as agent front ends: Telegram, Discord, iMessage, email and more
Workflows	Durable workflow graphs: cron, event or manual triggers, approval steps, resume after a pause
Safety	Approval gate, sandboxed execution (OS jail or Docker), Privacy Mode for local-only runs, secrets in the OS keyring
Usage tracking	Per-call cost and token usage, plus replayable run journals

	Claude Code	Codex	OpenClaw	Hermes Agent	OpenHuman
Median task time	37.8 s	36.1 s	62 s	58.5 s	🚀 19.8 s
Avg tokens per task	428k	370k	442k	482k	🚀 167k
Peak memory per task	231 MB	123 MB	1.57 GB	816 MB	🚀 68 MB
Avg cost per task	$0.04	$0.02	$0.01	$0.0082	🚀 $0.0077
Open source	🚫 Proprietary	✅ Apache-2.0	✅ MIT	✅ MIT	✅ GPL-3.0
Agent fleets	⚠️ Process per agent	⚠️ Process per agent	⚠️ Process per agent	⚠️ Process per agent	🚀 500 agents on a $10 VPS
Embeddable library	⚠️ SDK over a CLI	⚠️ SDK over a CLI	🚫 None	⚠️ Python package	🚀 Typed Rust API
Memory	⚠️ Memory files	⚠️ Memory files	⚠️ Plugin-reliant	✅ Self-learning	🚀 Recalled every turn, with citations
Integrations	✅ MCP	✅ MCP	⚠️ BYO	⚠️ BYO	🚀 119 OAuth apps, MCP, skills
Messaging channels	🚫 None	🚫 None	✅ Many	✅ Several	✅ 14, including email
Browser and desktop	⚠️ Browser via MCP	⚠️ Browser via MCP	✅ Browser	✅ Browser	✅ Browser and desktop apps
Workflows	🚫 None	🚫 None	⚠️ Scripts	⚠️ Scripts	🚀 Visual, agent-drafted
Model choice	⚠️ Anthropic models	⚠️ OpenAI-first	✅ Any	✅ Any	✅ Any, with built-in routing

OpenHuman